-
filter
说明： matlab中位值滤波，可以对连续信号进行中位值滤波(matlab median filter, the signal can be continuous median filter)
- 2010-05-01 10:36:38下载
- 积分：1
-
CHAP5
图像增强技术 直方图增强 几种空间域滤波相应的matlab代码(Several spatial domain filtering technology histogram of image enhancement corresponding matlab code)
- 2014-09-10 15:49:51下载
- 积分：1
-
music
功率谱估计 music算法matlab实现(music algorithm of power spectral estimation and its realization)
- 2014-02-24 21:09:29下载
- 积分：1
-
tabu
tabu search for resolving the problem of 8 queen in chess table.
- 2011-05-05 05:35:53下载
- 积分：1
-
Load-Flow
A load flow solution based on Newton-Raphson method represented. The program has been tested on IEEE 34-bus power system.
- 2011-06-28 06:28:38下载
- 积分：1
-
Bandwidth_Allocation_and_Service_Handoff_in_IEEE80
说明： 本文针对无线网络中的多种服务类型，对
无线网络的带宽分配和接入方式进行分析，深入分析了不同类型的网络带宽资源
分配和调度算法在运行过程中对网络性能的影响。同时，本文也针对切换服务对
无线网络带宽分配的影响情况进行了分析，对切换服务的路由重建方式进行优
化，提高网络的实际运行性能。(This paper has
analyzed the bandwidth allocating process of wireless network with different services
types and compared the performance of different bandwidth allocating schemes. At
the same time, this paper also gives an eye to the impact brought by handoff process.
We have optimized the handoff rerouting process to improve the performance when
the handoff process tack place. The main work and contributions are presented in the
following aspects.)
- 2010-04-28 16:02:11下载
- 积分：1
-
fenglifadianmoxing
自己编写的双馈风力发电机模型，可以运行。(I have written a doubly-fed wind turbine model, you can run.)
- 2011-10-06 22:58:24下载
- 积分：1
-
Downloads4
Draws Black-Scholes surface for European call Compute expected payoff for European call & Illustrates risk neutrality Apply Netwon s Method to N(x) + exp(x) = 2.(Draws Black-Scholes surface for European call Compute expected payoff for European call & Illustrates risk neutrality Apply Netwon s Method to N(x)+ exp(x) = 2.)
- 2015-05-19 15:11:57下载
- 积分：1
-
02
说明： 一些有关最优控制理论的控制实例程序集和仿真 (Control instance assembly of the optimal control theory and simulation)
- 2012-06-11 16:31:22下载
- 积分：1
-
genetic-algorithm
In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
- 2015-04-14 23:54:18下载
- 积分：1
